Presentation + Paper
7 March 2016 Differentiation of cancerous and normal brain tissue using label free fluorescence and Stokes shift spectroscopy
Yan Zhou, Leana Wang, Cheng-hui Liu, Yong He, Xinguang Yu, Gangge Cheng, Peng Wang, Cheng Shu, Robert R. Alfano
Author Affiliations +
Abstract
In this report, optical biopsy was applied to diagnose human brain cancer in vitro for the identification of brain cancer from normal tissues by native fluorescence and Stokes shift spectra (SSS). 77 brain specimens including three types of human brain tissues (normal, glioma and brain metastasis of lung cancers) were studied. In order to observe spectral changes of fluorophores via fluorescence, the selected excitation wavelength of UV at 300 and 340 nm for emission spectra and a different Stokes Shift spectra with intervals Δλ = 40 nm were measured. The fluorescence spectra and SSS from multiple key native molecular markers, such as tryptophan, collagen, NADH, alanine, ceroid and lipofuscin were observed in normal and diseased brain tissues. Two diagnostic criteria were established based on the ratios of the peak intensities and peak position in both fluorescence and SSS spectra. It was observed that the ratio of the spectral peak intensity of tryptophan (340 nm) to NADH (440 nm) increased in glioma, meningioma (benign), malignant meninges tumor, and brain metastasis of lung cancer tissues in comparison with normal tissues. The ratio of the SS spectral peak (Δλ = 40 nm) intensities from 292 nm to 366 nm had risen similarly in all grades of tumors.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Zhou, Leana Wang, Cheng-hui Liu, Yong He, Xinguang Yu, Gangge Cheng, Peng Wang, Cheng Shu, and Robert R. Alfano "Differentiation of cancerous and normal brain tissue using label free fluorescence and Stokes shift spectroscopy", Proc. SPIE 9703, Optical Biopsy XIV: Toward Real-Time Spectroscopic Imaging and Diagnosis, 97030Q (7 March 2016); https://doi.org/10.1117/12.2213120
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Cited by 1 scholarly publication.
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KEYWORDS
Tissues

Brain

Tumors

Lung cancer

Spectroscopy

Tissue optics

Fluorescence spectroscopy

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